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5 Automated And AI-Driven Workflows To Scale Enterprise SEO

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5 Automated And AI-Driven Workflows To Scale Enterprise SEO

That’s where Ahrefs’ in-built AI translator may be a better fit for your project, solving both problems in one go:

GIF from Ahrefs Keywords Explorer, July 2024

It offers automatic translations for 40+ languages and dialects in 180+ countries, with more coming soon.

However, the biggest benefit is that you’ll get a handful of alternative translations to select from, giving you greater insight into the nuances of how people search in local markets.

For example, there are over a dozen ways to say ‘popcorn’ across all Spanish-speaking countries and dialects. The AI translator is able to detect the most popular variation in each country.

5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Keywords Explorer, July 2024

This, my friends, is quality international SEO on steroids.

2.   Identify The Dominant Search Intent Of Any Keyword

Search intent is the internal motivator that leads someone to look for something online. It’s the reason why they’re looking and the expectations they have about what they’d like to find.

The intent behind many keywords is often obvious. For example, it’s not rocket science to infer that people expect to purchase a product when searching any of these terms:

5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Keywords Explorer, July 2024

However, there are many keywords where the intent isn’t quite so clear-cut.

For instance, take the keyword “waterbed.” We could try to guess its intent, or we could use AI to analyze the top-ranking pages and give us a breakdown of the type of content most users seem to be looking for.

 

1722237962 156 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Gif from Ahrefs Keywords Explorer, July 2024

For this particular keyword, 89% of results skew toward purchase intent. So, it makes sense to create or optimize a product page for this term.

For the keyword “arrow fletchings,” there is a mix of different types of content ranking, like informational posts, product pages, and how-to guides.

1722237962 320 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Identify Intents, July 2024

If your brand or product lent itself to one of the popular content types, that’s what you could plan in your content calendar.

Or, you could use the data here to outline a piece of content that covers all the dominant intents in a similar proportion to what’s already ranking:

  • ~40% providing information and answers to common questions.
  • ~30% providing information on fletching products and where to buy them.
  • ~20% providing a process for a reader to make their own fletchings.
  • And so on.

For enterprises, the value of outsourcing this to AI is simple. If you guess and get it wrong, you’ll have to allocate your limited SEO funds toward fixing the mistake instead of working on new content.

It’s better to have data on your side confirming the intent of any keyword before you publish content with an intent misalignment, let alone rolling it out over multiple websites or languages!

3.   Easily Identify Missing Topics Within Your Content

Topical gap analysis is very important in modern SEO. We’ve evolved well beyond the times when simply adding keywords to your content was enough to make it rank.

However, it’s not always quick or easy to identify missing topics within your content. Generative AI can help plug gaps beyond what most content-scoring tools can identify.

For example, ChatGPT can analyze your text against competitors’ to find missing topics you can include. You could prompt it to do something like the following:

1722237962 977 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

SIDENOTE. You’ll need to add your content and competitors’ content to complete the prompt.

Here’s an example of the list of topics it identifies:

1722237962 916 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

And the scores and analysis it can provide for your content:

1722237962 953 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from ChatGPT, July 2024

This goes well beyond adding words and entities, like what most content scoring tools suggest.

The scores on many of these tools can easily be manipulated, providing higher scores the more you add certain terms; even if, from a conceptual standpoint, your content doesn’t do a good job of covering a topic.

If you want the detailed analysis offered by ChatGPT but available in bulk and near-instantly… then good news. We’re working on Content Master, a content grading solution that automates topic gap analysis.

I can’t reveal too much about this yet, but it has a big USP compared to most existing content optimization tools: its content score is based on topic coverage—not just keywords.

1722237962 124 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Content Master, July 2024

You can’t just lazily copy and paste related keywords or entities into the content to improve the score.

If you rely on a pool of freelancers to create content at scale for your enterprise company, this tool will provide you with peace of mind that they aren’t taking any shortcuts.

4.   Update Search Engines With Changes On Your Website As They Happen

Have you ever made a critical change on your website, but search engines haven’t picked up on it for ages? There’s now a fix for that.

If you aren’t already aware of IndexNow, it’s time to check it out.

It tells participating search engines when a change, any change, has been made on a website. If you add, update, remove, or redirect pages, participating search engines can pick up on the changes faster.

Not all search engines have adopted this yet, including Google. However, Microsoft Bing, Yandex, Naver, Seznam.cz, and Yep all have. Once one partner is pinged, all the information is shared with the other partners making it very valuable for international organizations:

1722237962 784 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Most content management systems and delivery networks already use IndexNow and will ping search engines automatically for you. However, since many enterprise websites are built on custom ERP platforms or tech stacks, it’s worth looking into whether this is happening for the website you’re managing or not.

You could partner with the dev team to implement the free IndexNow API. Ask them to try these steps as shared by Bing if your website tech stack doesn’t already use IndexNow:

  1. Get your free IndexNow API key
  2. Place the key in your site’s root directory as a .txt file
  3. Submit your key as a URL parameter
  4. Track URL discoveries by search engines

You could also use Ahrefs instead of involving developers. You can easily connect your IndexNow API directly within Site Audit and configure your desired settings.

Here’s a quick snapshot of how IndexNow works with Ahrefs:

1722237962 519 5 Automated And AI Driven Workflows To Scale Enterprise SEO

In short, it’s an actual real-time monitoring and alerting system, a dream come true for technical SEOs worldwide. Check out Patrick Stox’s update for all the details.

Paired with our always-on crawler, no matter what changes you’re making, you can trust search engines will be notified of any changes you want, automatically. It’s the indexing shortcut you’ve been looking for.

5.   Automatically Fix Common Technical SEO Issues

Creative SEO professionals get stuff done with or without support from other departments. Unfortunately, in many enterprise organizations, relationships between the SEO team and devs can be tenuous, affecting how many technical fixes are implemented on a website.

If you’re a savvy in-house SEO, you’ll love this new enterprise feature we’re about to drop. It’s called Patches.

It’s designed to automatically fix common technical issues with the click of a button. You will be able to launch these fixes directly from our platform using Cloudflare workers or JavaScript snippets.

Picture this:

  1. You run a technical SEO crawl.
  2. You identify key issues to fix across one page, a subset of pages, or all affected pages.
  3. With the click of a button, you fix the issue across your selected pages.
  4. Then you instantly re-crawl these pages to check the fixes are working as expected.

For example, you can make page-level fixes for pesky issues like re-writing page titles, descriptions, and headings:

1722237962 821 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Site Audit, July 2024

You can also make site-wide fixes. For example, fixing internal links to broken pages can be challenging without support from developers on large sites. With Patches, you’ll be able to roll out automatic fixes for issues like this yourself:

1722237963 372 5 Automated And AI Driven Workflows To Scale Enterprise SEO

Screenshot from Ahrefs Site Audit, July 2024

As we grow this tool, we plan to automate over 95% of technical fixes via JavaScript snippets or Cloudflare workers, so you don’t have to rely on developers as much as you may right now. We’re also integrating AI to help you speed up the process of fixing fiddly tasks even more.

Get More Buy-In For Enterprise SEO With These Workflows

Now, as exciting and helpful as these workflows may be for you, the key is to get your boss and your boss’ boss on board.

If you’re ever having trouble getting buy-in for SEO projects or budgets for new initiatives, try using the cost savings you can pass as leverage.

For instance, you can show how, usually, three engineers would dedicate five sprints to fixing a particular issue, costing the company illions of dollars—millions, billions, bajillions, whatever it is. But with your proposed solution, you can reduce costs and free up the engineers’ time to work on high-value tasks.

You can also share the Ultimate Enterprise SEO Playbook with them. It’s designed to show executives how your team is strategically valuable and can solve many other challenges within the organization.

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Facebook Attracts Gen Z Users While TikTok’s Boomer Audience Grows

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Facebook Attracts Gen Z Users While TikTok's Boomer Audience Grows

According to a recent report by eMarketer, Facebook is experiencing a resurgence among Gen Z users, while TikTok is gaining traction with baby boomers.

Despite these shifts, both platforms maintain a stable core user base.

Facebook’s Gen Z Renaissance

Facebook’s seeing unexpected Gen Z growth despite overall decline. U.S. Gen Z users are projected to increase from 49.0% (33.9M) in 2024 to 56.9% (40.5M) by 2028.

Key drivers:

  1. Utility: Event planning, niche groups, and Marketplace appeal to younger users.
  2. Demo shift: ~36% of Gen Z are still under 18, many just entering the social media space.

E-commerce potential strong: 75.0% of Gen Z Facebook users (15-26) bought on Marketplace last year.

However, Gen Z still trails Gen X and millennials in user numbers and time spent on the platform. Interestingly, time on Facebook is decreasing for users under 55, suggesting a shift in how younger generations interact with the platform.

TikTok’s Boomer Boom

TikTok’s Gen Z market is saturated, but it’s seeing surprising growth among boomers.

Projections show a 10.5% increase in U.S. boomer users next year, from 8.7M to 9.7M.

This modest uptick underscores TikTok’s accessibility and its appeal to older adults who want to stay culturally relevant and connected with younger relatives.

While boomers are the fastest-growing demographic, TikTok adoption rates are rising steadily across all generations, indicating the platform’s broad appeal.

Shifting Social Media Landscape

Facebook use continues to decrease across all generations except Gen Z, highlighting the platform’s evolving role in the social media ecosystem.

This trend, coupled with TikTok’s growth among older users, suggests a blurring of generational lines in social media usage. Platforms that can adapt to changing user demographics while maintaining their core appeal will be best positioned for long-term success.

Implications For Marketers

Platforms and users are constantly changing. Brands must adapt or risk losing ground to competitors.

TikTok’s boomer growth opens up new avenues for brands targeting older demographics, but marketers should be mindful of the platform’s primarily young user base.

For Facebook marketers, the growing Gen Z user base presents new opportunities, especially in e-commerce via Marketplace. However, decreasing time spent on the platform means content needs to be more engaging and targeted.

Action items:

  1. Audit strategy: Check content appeal across age groups and platforms.
  2. Diversify: Create multi-faceted strategies for different demographics while maintaining brand identity.
  3. Leverage analytics: Track engagement by age group and adjust tactics.
  4. Test and optimize: Experiment with content formats and messaging for each platform.
  5. Stay current: Follow platform updates and demographic trends.

Stay flexible and update strategies as user demographics and preferences change.

Brands that can reach across generations while respecting platform-specific norms will likely see the most success in this changing landscape.


Screenshot from: Halfpoint/Shutterstock

 

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Google Confirms Robots.txt Can’t Prevent Unauthorized Access

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Google Confirms Robots.txt Can't Prevent Unauthorized Access

Google’s Gary Illyes confirmed a common observation that robots.txt has limited control over unauthorized access by crawlers. Gary then offered an overview of access controls that all SEOs and website owners should know.

Common Argument About Robots.txt

Seems like any time the topic of Robots.txt comes up there’s always that one person who has to point out that it can’t block all crawlers.

Gary agreed with that point:

“robots.txt can’t prevent unauthorized access to content”, a common argument popping up in discussions about robots.txt nowadays; yes, I paraphrased. This claim is true, however I don’t think anyone familiar with robots.txt has claimed otherwise.”

Next he took a deep dive on deconstructing what blocking crawlers really means. He framed the process of blocking crawlers as choosing a solution that inherently controls or cedes control to a website. He framed it as a request for access (browser or crawler) and the server responding in multiple ways.

He listed examples of control:

  • A robots.txt (leaves it up to the crawler to decide whether or not to crawl).
  • Firewalls (WAF aka web application firewall – firewall controls access)
  • Password protection

Here are his remarks:

“If you need access authorization, you need something that authenticates the requestor and then controls access. Firewalls may do the authentication based on IP, your web server based on credentials handed to HTTP Auth or a certificate to its SSL/TLS client, or your CMS based on a username and a password, and then a 1P cookie.

There’s always some piece of information that the requestor passes to a network component that will allow that component to identify the requestor and control its access to a resource. robots.txt, or any other file hosting directives for that matter, hands the decision of accessing a resource to the requestor which may not be what you want. These files are more like those annoying lane control stanchions at airports that everyone wants to just barge through, but they don’t.

There’s a place for stanchions, but there’s also a place for blast doors and irises over your Stargate.

TL;DR: don’t think of robots.txt (or other files hosting directives) as a form of access authorization, use the proper tools for that for there are plenty.”

Use The Proper Tools To Control Bots

There are many ways to block scrapers, hacker bots, search crawlers, visits from AI user agents and search crawlers. Aside from blocking search crawlers, a firewall of some type is a good solution because they can block by behavior (like crawl rate), IP address, user agent, and country, among many other ways. Typical solutions can be at the server level with something like Fail2Ban, cloud based like Cloudflare WAF, or as a WordPress security plugin like Wordfence.

Read Gary Illyes post on LinkedIn:

robots.txt can’t prevent unauthorized access to content

Featured Image by Shutterstock/Ollyy

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Video Advertising Metrics & Brand Advertising With Greg Jarboe

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Video Advertising Metrics & Brand Advertising With Greg Jarboe

Last week Greg Jarboe wrote an article for SEJ covering insights from the 2024 IAB Digital Video Ad Spend & Strategy Report which was the second part of a two-part report.

The first part reported that overall spending on digital video advertising in the U.S. is projected to grow 16% and that in the last four years, the share of ad spend has shifted to 52% of the total market share in the U.S.

US Digital video ad revenues are expected to reach $63 billion in 2024.

From the second part of the report, what stood out was the shift in measurement metrics for video from reach to business outcomes. According to Cintia Gabilan, IAB’s VP of the Media Center:

“But now business outcomes are the most important metrics to assess success, with reach and frequency coming in second. However, measurement is not yet where it needs to be. Two-thirds of buyers cite issues across nine key areas of measurement.”

Alphabet (Google) has also just announced their quarterly earnings – and out of this was the insight that Brand advertising – rather than direct response is driving YouTube revenue.

To discuss this and to throw insight into why this is important and why he was “shocked” about these changes, I reached out to Greg to get his thoughts.

Greg started out as a director of corporate communications in the 90s when websites were called “new media.”

And, he has worked with video marketing since the mid-2000s. He has followed the development and uptake of video in online marketing and SEO for the last 15 years.

Why Video Advertising Metrics Have Shifted

I asked Greg why he was shocked that brand advertising is driving YouTube revenue and then, why he was shocked about the shift in video advertising metrics.

Greg said,

“I’ve been following this trend for at least 15 years, if not longer, and it was one of those things where I wondered how come nobody else saw this.

Too many American brands and agencies were still hung up on the television era and all the metrics they used were just fine for measuring TV reach and frequency.

They might have occasionally layered in a bit of engagement if they were sophisticated because they knew online video allowed for likes, shares, or comments. But they were mostly using what I would call marketing outputs to measure their success.

Back then, a few of us Pioneers were saying no, focusing on business outcomes. But, that sort of advice wasn’t being taken up very often. Now, suddenly, a majority of brands and agencies are using business outcomes to measure success.

My theory is that a majority are now using the ability in YouTube to set your business goal for your video ad campaign. Amongst the available settings are awareness and consideration, website traffic, leads, or sales.

So, if you let artificial intelligence say ‘okay, if that’s your goal then here’s where we want to display your video ad’, then you are focusing on business outcomes. Not because you have taken advice about making that choice, but because you’re allowing AI to give you the best practice and make that choice for you.

I’m shocked that people are finally doing the right thing, but I’m suspicious that they don’t know they’re doing the right thing or why. They are simply taking advantage of the new AI capabilities that Google is rolling out.”

Why Video Advertising Revenue Is Shifting To Brand Advertising

I then asked Greg to explain why brand advertising is shifting more revenue to YouTube.

Greg said,

“Connected Television (CTV) has basically swept aside linear TV, and more than half of the ad dollars have now moved to CTV. When you’re advertising on CTV, your goal is awareness or consideration. This shift is probably as big as the advent of mobile advertising was 15 or more years ago.

Connected Television is now shifting ad dollars. What this means is that a lot of advertisers, both on the client and agency sides, are now using AI to steer money that used to go from terrestrial TV to YouTube. YouTube has huge reach in the UK as well as the US, and that’s brand advertising.”

The conversation shifted to TikTok, which is now dominant among emerging demographics like Gen Z. If it doesn’t become outright banned in the US, TikTok is going to continue to have a growing influence over audiences.

I asked Greg, how we can start to embrace this shift in measurement metrics for TikTok? How can we apply business outcomes to TikTok?

Greg responded by saying,

“TikTok shared research, that highlighted the buyer journey as a loop rather than a straight line. Everyone knows the customer journey is not a straight line, but TikTok emphasized the looping process, including discovery and consideration phases.

Too many marketers still work with the metaphor of the sales funnel, which was invented in 1924. The customer journey does not travel straight down a funnel; it loops.

SEOs and content marketers must understand where the customer needs to find their content during discovery and evaluation modes.

This means creating content that captures interest and builds a relationship over time until the customer decides to do business with them.”

I asked Greg,

“How can SEOs and content marketers produce the kind of content needed for this process?”

His response was that this was hard. He went on to say that digital marketers need to unlearn what they have learned, and that’s really hard for marketing professionals to do because it’s not how things worked last year.

Greg said,

“But it’s not last year anymore. The really good agencies, brands, marketers, SEOs, and others are constantly adapting.

One of the things I learned when writing my book, “YouTube and Video Marketing,” is that the landscape changes constantly. I had to go back and revise early chapters before I could turn back to writing later chapters.”

Greg’s final advice was to avoid using books as a source of learning:

“The book publishing process is too slow; any book you pick up is probably already outdated. Stick to fresh information from online industry news publishers to stay updated.”

Unlearn Everything You Knew Before And Learn Again

If video advertisers are inadvertently selecting the goals for their campaigns through AI, or if they are actively making that choice, video advertising is finally shifting to be focused on business outcomes.

It appears that the industry might be moving away from the historical influence of television-era metrics and becoming more sophisticated with their measurement.

What marketers need to consider is that everything they have relied on previously is now changing. What worked last year is no longer working.

We are seeing this across the entire spectrum of SEO and online marketing with everything in flux as the influence of AI integrates and becomes established.

The advice is to unlearn what you relied on before and learn again and don’t rely on outdated information.

Everything is changing faster than it can be printed so make sure you turn to sources that are as up-to-date as possible.

Thank you to Greg Jarboe for offering his opinion and being my guest on IMHO.

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